Evidence map›Paper›PMID 27798378›Full record

ArticleNeurorehabilitation and neural repair2017

Associations Between Foot Placement Asymmetries and Metabolic Cost of Transport in Hemiparetic Gait.

James M Finley, Amy J Bastian

Registry-linked trialAbstract read
In one paragraph

Article in Neurorehabilitation and neural repair, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03916562 (Toward a Mechanistic Understanding of Optimization Principles Underlying Hemiparetic Gait), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03916562 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Toward a Mechanistic Understanding of Optimization Principles Underlying Hemiparetic Gait

TypeinterventionalSponsorUniversity of Southern CaliforniaRan2018 to 2023Enrolled108ConditionsStrokeArmsManipulation of spatiotemporal coordination during walking
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  10. Post-Stroke Adaptation of Lateral Foot Placement Coordination in Variable Environments.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021
    Article
  11. Different Biomechanical Variables Explain Within-Subjects Versus Between-Subjects Variance in Step Length Asymmetry Post-Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

James M Finley1 University of Southern California, Los Angeles, CA, USA.
Amy J Bastian2 Kennedy Krieger Institute, Baltimore, MD, USA.

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Interdisciplinary Engineering Career Development Center in Movement and Rehabilitation SciencesK12HD073945 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DEWALD, JULIUS P, REINKENSMEYER, DAVID JAY · 2012 to 2021
$7.9M
Research Training in Rehabilitation for Brain Injury and Neurological DisabilityT32HD007414 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Amy J. Bastian · 1991 to 2026
$6.3M
Human Locomotor Plasticity in Health and DiseaseR37NS090610 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI BASTIAN, AMY J. · 2015 to 2020
$3.3M
Human Locomotor Plasticity in Health and DiseaseR01HD048741 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI BASTIAN, AMY J. · 2006 to 2014
$2.6M
NIA NIH HHS P30 AG028747NICHD NIH HHS K12 HD073945NICHD NIH HHS R01 HD048741NICHD NIH HHS T32 HD007414NINDS NIH HHS R37 NS090610
6 · The paper itself

Abstract

Stroke survivors often have a slow, asymmetric walking pattern. They also walk with a higher metabolic cost than healthy, age-matched controls. It is often assumed that spatial-temporal asymmetries contribute to the increased metabolic cost of walking poststroke. However, elucidating this relationship is made challenging because of the interdependence between spatial-temporal asymmetries, walking speed, and metabolic cost. Here, we address these potential confounds by measuring speed-dependent changes in metabolic cost and implementing a recently developed approach to dissociate spatial versus temporal contributions to asymmetry in a sample of stroke survivors. We used expired gas analysis to compute the metabolic cost of transport (CoT) for each participant at 4 different walking speeds: self-selected speed, 80% and 120% of their self-selected speed, and their fastest comfortable speed. We also computed CoT for a sample of age- and gender-matched control participants who walked at the same speeds as their matched stroke survivor. Kinematic data were used to compute the magnitude of a number of variables characterizing spatial-temporal asymmetries. Across all speeds, stroke survivors had a higher CoT than controls. We also found that our sample of stroke survivors did not choose a self-selected speed that minimized CoT, contrary to typical observations in healthy controls. Multiple regression analyses revealed negative associations between speed and CoT and a positive association between asymmetries in foot placement relative to the trunk and CoT. These findings suggest that interventions designed to increase self-selected walking speed and reduce foot-placement asymmetries may be ideal for improving walking economy poststroke.

Indexed as

AdultAgedAge FactorsBiomechanical PhenomenaFemaleFootFunctional LateralityGaitHumansMaleMiddle AgedModels, BiologicalParesisRegression AnalysisStrokeasymmetrylocomotionmetabolic coststroke

Identifiers

PMID27798378
PMCPMC5243179

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.